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Patterns

Your agent doesn't need to guess.
It needs to be told.

This is the build order of a real app, written down — the database, sign-in, the screens, the AI plumbing — as rules your AI has to follow. Composure doesn't just check code quality. It enforces this.

See what ships in your planWhy this reaches the model at all

Every number below is generated from the catalog on every build. It can't drift from what actually ships — it's derived from what's on disk, not written by marketing.

1105
enforced patterns, in build order
897
working examples — real code that lands
38
dependency-ordered areas

Teach the shape · land the code

1105 patterns897 working examples≈ ×0.8 examples per pattern

Cumulative unlock by plan — plans nest

Pro
836/1105 · 76%
Agency
1067/1105 · 97%
Enterprise
1105/1105 · 100%

Pro already unlocks 76% of the catalog — Agency and Enterprise complete it.

How it reaches the model

  1. 1

    The patterns are written once, dependency-ordered — auth depends on schema, frontend depends on auth, nothing written out of order.

  2. 2

    A hook reads your prompt before your agent's turn starts and writes the matching pattern into context — before the model reasons, not after it guesses wrong.

  3. 3

    There's no step where the model has to remember to look it up — that's the whole difference from a skill catalog it has to elect to read.

Full mechanism, with the code that verifies it →

The patterns, by area

Each area's non-obvious rule — the thing that breaks silently if you skip it.

Groundwork

2 areas · 15 patterns · 128 examples

PRO

Foundation

12 patterns · 128 examples

Every record's ID says what it is (usr_, acc_, …) — so every log line, link, and support ticket explains itself.

See the patterns
AGENCY

From scratch

3 patterns

A new app is born in a fixed order — the database first, then everything built on it — and the order never bends.

See the patterns

Data

3 areas · 32 patterns · 111 examples

PRO

Schema

15 patterns · 78 examples

When several tables look almost the same, they should be one table with a "type" label — stop the sprawl before it starts, not after.

See the patterns
PRO

Entities

14 patterns · 33 examples

Importing a customer's old data must be all-or-nothing AND safe to run twice — otherwise one failed import leaves half-moved data nobody can untangle.

See the patterns
PRO

Integration

3 patterns

Kicking off a follow-up action inside the same step as the change it depends on is a reliability bug waiting to happen.

See the patterns

Access

1 area · 17 patterns · 49 examples

PRO

Auth & Identity

17 patterns · 49 examples

Support acting on a customer's behalf isn't a permission upgrade — it needs its own paper trail, or you either over-grant forever or block legitimate help.

See the patterns

Screens

3 areas · 73 patterns · 526 examples

PRO

Frontend

65 patterns · 433 examples

The signed-in-user cache isn't a speed trick — it's the tamper alarm that forces a fresh sign-in when the account no longer matches the session.

See the patterns
AGENCY

Mobile organization

5 patterns · 61 examples

Your mobile app's screens all follow one organization — lists, details, and menus derived from a single source — so every screen feels like the same app.

See the patterns
ENTERPRISE

Mobile automation

3 patterns · 32 examples

Breaking big screens into clean parts follows a written standard your AI can repeat — and every build gets smoke-tested locally, automatically.

See the patterns

Intelligence

1 area · 17 patterns · 47 examples

AGENCY

AI Infra

17 patterns · 47 examples

An AI agent's behavior needs written, versioned rules — like a contract — not scattered prompt tweaks nobody can audit or roll back.

See the patterns

Operations

2 areas · 16 patterns · 36 examples

PRO

Feature packaging

5 patterns · 5 examples

A feature only becomes reusable when it passes a real test — self-contained, one door in, no reaching into the host app. Otherwise it's a connection, not a package.

See the patterns
AGENCY

Analytics

11 patterns · 31 examples

Privacy-law data retention is designed into the database on day one — how long things live, what gets deleted together — not bolted on when a request lands.

See the patterns

Before you decide.

The questions that come up before trusting a claim this specific.

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See your plan's patternsGetting started